Overview
On Site
$100,000 - $135,000
Full Time
Skills
AWS
Amazon web services
ETL
EDA
Data Science
Sage-Maker
ML
Machine Learning
Data Scientist
Redshift
Extract
Glue
Job Details
Job Description
- Data Analysis and Exploration: Analyze large, complex datasets to extract meaningful insights and identify trends. Perform exploratory data analysis (EDA) using AWS data processing tools.
- Model Development: Build, train, and evaluate machine learning models using AWS services such as Sage-Maker, and frameworks like TensorFlow.
- ETL and Data Preparation: Work with AWS Glue, Redshift, Extract and other data engineering tools to preprocess, transform, and manage data for machine learning purposes.
- Machine Learning Pipeline Development: Develop end-to-end machine learning pipelines on AWS to automate and operationalize the deployment of models at scale.
- Collaboration: Work closely with data engineers, business analysts, and stakeholders to understand business needs and tailor data science solutions to meet those needs.
- Model Deployment and Monitoring: Deploy models to production and set up monitoring systems to track performance, accuracy, and other key metrics. Use Sage-Maker and Lambda for model hosting and API development.
- Documentation and Reporting: Document models, processes, and findings for stakeholders, enabling clear communication of results and decision support.
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